Real-time Interactive Barnes-Hut N-Body Simulator. Create galaxies, apply forces, visualize spatial partitioning, parameterize simulation physics and entities, etc.

The ATA algorithm provides a novel approximation framework for analytic functions that cannot be expressed in closed-form via elementary or algebraic functions. It ...

Abstract: We present fully polynomial approximation algorithm for generalized maximum concurrent flow problem with budget constraint that run in time independent of the number of commodities k. We ...

Abstract: In the weighted flow-time problem on a single machine, we are given a set of n jobs, where each job has a processing requirement p_j, release date r_j and weight w_j. The goal is to find a ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

The stochastic root-finding problem is that of finding a zero of a vector-valued function known only through a stochastic simulation. The simulation-optimization problem is that of locating a ...

Nash equilibria represent a cornerstone in game theory, defining strategy profiles wherein no player can benefit by unilaterally deviating. This concept underpins a myriad of applications, ranging ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...